Abstract
Ontological analysis facilitates microarray data interpretation. We describe new ontological analysis methods which, unlike existing approaches, are threshold-free and statistically powerful. We perform extensive evaluations and introduce a new concept, detection spectra, to characterize methods. We show that different ontological analysis methods exhibit distinct detection spectra, and that it is critical to account for this diversity. Our results argue strongly against the continued use of existing methods, and provide directions towards an enhanced approach.
Original language | English |
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Journal | Genome Biology |
Volume | 8 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2007 |
Subject classification (UKÄ)
- Medical Genetics